Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "151"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 151 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 34 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 34 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 151, Node N16:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2460017 digital_ok 100.00% 0.00% 0.00% 0.00% - - 21.015109 0.502370 -0.513002 0.939569 1.953786 -1.018949 0.251479 12.765539 0.4160 0.4975 0.3039 nan nan
2460016 digital_ok 100.00% 0.00% 0.00% 0.00% - - 22.729093 0.692847 -0.586021 0.694878 1.165814 -0.675150 1.504865 -0.117031 0.4176 0.5108 0.3137 nan nan
2460015 digital_ok 100.00% 0.00% 0.00% 0.00% - - 12.031620 0.873620 -0.293247 0.835313 1.717344 -0.422041 33.946631 -0.083165 0.4882 0.5201 0.3167 nan nan
2460014 digital_ok 100.00% 0.00% 0.00% 0.00% - - 22.031478 1.395885 -0.425599 0.552954 5.106988 -0.881959 14.343370 -0.178608 0.4124 0.4837 0.3129 nan nan
2460013 digital_ok 100.00% 0.00% 0.00% 0.00% - - 23.568896 0.715064 -0.544942 0.715849 1.607801 -0.239965 0.239784 0.058314 0.4228 0.5201 0.3195 nan nan
2460012 digital_ok 100.00% 0.00% 0.00% 0.00% - - 21.907497 0.729566 -0.683964 0.538989 1.619934 -0.078216 0.377319 0.063681 0.4321 0.5251 0.3161 nan nan
2460011 digital_ok 100.00% 0.00% 0.00% 0.00% - - 20.829692 0.788704 -0.545225 0.525980 4.232477 -0.292086 2.546178 0.129541 0.4327 0.5161 0.3347 nan nan
2460010 digital_ok 100.00% 0.00% 0.00% 0.00% - - 26.732534 1.474662 -0.244659 0.811560 2.644069 -1.330325 6.231025 0.147443 0.4177 0.5271 0.3348 nan nan
2460009 digital_ok 100.00% 0.00% 0.00% 0.00% - - 9.951272 0.779855 -0.179816 0.913134 1.143927 -0.163629 10.070771 0.344121 0.5092 0.5344 0.3471 nan nan
2460008 digital_ok 100.00% 0.00% 0.00% 0.00% - - 29.269419 1.437865 -0.527056 0.995674 2.173241 -0.400982 0.480078 -0.035583 0.4778 0.5881 0.3069 nan nan
2460007 digital_ok 100.00% 0.00% 0.00% 0.00% - - 22.249245 1.004558 -0.582451 0.973176 1.838740 -0.856171 0.289275 -0.037282 0.4339 0.5356 0.3251 nan nan
2459999 digital_ok 0.00% 0.08% 0.00% 0.00% - - nan nan nan nan nan nan nan nan 0.4852 0.5517 0.2779 nan nan
2459998 digital_ok 100.00% 0.00% 0.00% 0.00% - - 20.481238 0.796470 -0.388752 0.685520 1.757984 -0.573793 0.620692 0.899437 0.4512 0.5618 0.3374 nan nan
2459997 digital_ok 100.00% 0.00% 0.00% 0.00% - - 22.117954 0.853944 -0.237274 0.800688 2.170967 -0.940160 0.667782 0.653513 0.4677 0.5806 0.3402 nan nan
2459996 digital_ok 100.00% 0.00% 0.00% 0.00% - - 23.159089 0.997857 -0.449056 1.012436 2.380872 -0.653646 4.707920 0.359367 0.4739 0.5827 0.3561 nan nan
2459995 digital_ok 100.00% 0.00% 0.00% 0.00% - - 23.191576 0.804858 -0.528498 0.667844 3.938738 -0.690951 3.227113 -0.204249 0.4791 0.5754 0.3482 nan nan
2459994 digital_ok 100.00% 0.00% 0.00% 0.00% - - 18.089342 0.912343 -0.042394 0.830280 2.622304 -0.923919 2.283317 -0.270998 0.5063 0.5689 0.3450 nan nan
2459993 digital_ok 100.00% 0.00% 0.00% 0.00% - - 25.960776 1.133018 0.052986 0.545142 6.072975 -0.792595 5.383263 -0.238585 0.4707 0.5752 0.3595 nan nan
2459991 digital_ok 100.00% 0.00% 0.00% 0.00% - - 16.029593 1.299342 0.215307 0.683569 4.075352 -0.923481 7.406933 -0.097824 0.5320 0.5603 0.3528 nan nan
2459990 digital_ok 100.00% 0.00% 0.00% 0.00% - - 13.967633 1.274208 0.238366 0.617305 4.145927 -0.566279 9.443070 -0.291362 0.5229 0.5563 0.3495 nan nan
2459989 digital_ok 100.00% 0.00% 0.00% 0.00% - - 21.621148 1.210734 0.224207 0.797481 2.648299 -0.838934 3.992738 -0.396911 0.4851 0.5573 0.3431 nan nan
2459988 digital_ok 100.00% 0.00% 0.00% 0.00% - - 28.415165 1.354026 -0.160969 0.541654 3.786281 -0.136970 9.220302 -0.108809 0.4714 0.5621 0.3372 nan nan
2459987 digital_ok 100.00% 0.00% 0.00% 0.00% - - 23.785288 0.954672 -0.305695 0.695764 1.739329 -0.705589 0.459180 0.574065 0.4722 0.5714 0.3333 nan nan
2459986 digital_ok 100.00% 0.00% 0.00% 0.00% - - 22.879081 1.272244 -0.046324 0.614508 3.521719 -0.698408 3.126895 -0.981384 0.5257 0.6069 0.3035 nan nan
2459985 digital_ok 100.00% 0.00% 0.00% 0.00% - - 26.989471 0.887584 -0.364208 0.628672 2.199332 -1.100411 2.966323 -0.390428 0.4722 0.5757 0.3416 nan nan
2459984 digital_ok 100.00% 0.00% 0.00% 0.00% - - 24.216554 0.744913 -0.333532 0.512522 3.325751 -0.850408 0.675238 0.998490 0.4880 0.5997 0.3319 nan nan
2459983 digital_ok 100.00% 0.00% 0.00% 0.00% - - 23.822202 1.016442 -0.211722 0.509503 5.138736 -0.669478 3.418004 -0.721041 0.5117 0.6164 0.3001 nan nan
2459982 digital_ok 100.00% 0.00% 0.00% 0.00% - - 13.387915 2.351274 -0.576632 0.701535 0.565213 -0.653389 0.513303 -0.156016 0.6237 0.6525 0.2713 nan nan
2459981 digital_ok 100.00% 0.00% 0.00% 0.00% - - 12.084016 1.225778 0.404873 0.432386 5.356881 -0.361028 7.753223 -0.360790 0.5365 0.5682 0.3504 nan nan
2459980 digital_ok 100.00% 0.00% 0.00% 0.00% - - 22.240032 0.940974 -0.298099 0.456323 5.286295 -0.875548 1.237932 -0.382820 0.5289 0.6241 0.2848 nan nan
2459979 digital_ok 100.00% 0.00% 0.00% 0.00% - - 14.889994 1.267927 0.079186 0.401310 5.231337 -0.930548 4.005401 -0.117320 0.5234 0.5652 0.3499 nan nan
2459978 digital_ok 100.00% 0.00% 0.00% 0.00% - - 11.738129 1.376488 0.301180 0.399216 5.098944 -0.617428 6.243170 -0.341454 0.5322 0.5629 0.3553 nan nan
2459977 digital_ok 100.00% 0.00% 0.00% 0.00% - - 20.638686 1.142867 -0.209164 0.465055 5.956052 -1.402342 4.585214 -0.533299 0.4505 0.5293 0.3164 nan nan
2459976 digital_ok 100.00% 0.00% 0.00% 0.00% - - 22.470100 1.221894 -0.191269 0.401377 4.923431 -0.906188 4.120722 -0.652648 0.4915 0.5723 0.3413 nan nan

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 151: 2460017

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
151 N16 digital_ok ee Shape 21.015109 0.502370 21.015109 0.939569 -0.513002 -1.018949 1.953786 12.765539 0.251479

Antenna 151: 2460016

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
151 N16 digital_ok ee Shape 22.729093 0.692847 22.729093 0.694878 -0.586021 -0.675150 1.165814 -0.117031 1.504865

Antenna 151: 2460015

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
151 N16 digital_ok ee Temporal Discontinuties 33.946631 0.873620 12.031620 0.835313 -0.293247 -0.422041 1.717344 -0.083165 33.946631

Antenna 151: 2460014

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
151 N16 digital_ok ee Shape 22.031478 22.031478 1.395885 -0.425599 0.552954 5.106988 -0.881959 14.343370 -0.178608

Antenna 151: 2460013

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
151 N16 digital_ok ee Shape 23.568896 23.568896 0.715064 -0.544942 0.715849 1.607801 -0.239965 0.239784 0.058314

Antenna 151: 2460012

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
151 N16 digital_ok ee Shape 21.907497 21.907497 0.729566 -0.683964 0.538989 1.619934 -0.078216 0.377319 0.063681

Antenna 151: 2460011

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
151 N16 digital_ok ee Shape 20.829692 20.829692 0.788704 -0.545225 0.525980 4.232477 -0.292086 2.546178 0.129541

Antenna 151: 2460010

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
151 N16 digital_ok ee Shape 26.732534 26.732534 1.474662 -0.244659 0.811560 2.644069 -1.330325 6.231025 0.147443

Antenna 151: 2460009

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
151 N16 digital_ok ee Temporal Discontinuties 10.070771 9.951272 0.779855 -0.179816 0.913134 1.143927 -0.163629 10.070771 0.344121

Antenna 151: 2460008

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
151 N16 digital_ok ee Shape 29.269419 1.437865 29.269419 0.995674 -0.527056 -0.400982 2.173241 -0.035583 0.480078

Antenna 151: 2460007

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
151 N16 digital_ok ee Shape 22.249245 22.249245 1.004558 -0.582451 0.973176 1.838740 -0.856171 0.289275 -0.037282

Antenna 151: 2459999

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
151 N16 digital_ok nn Shape nan nan nan nan nan nan nan nan nan

Antenna 151: 2459998

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
151 N16 digital_ok ee Shape 20.481238 20.481238 0.796470 -0.388752 0.685520 1.757984 -0.573793 0.620692 0.899437

Antenna 151: 2459997

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
151 N16 digital_ok ee Shape 22.117954 22.117954 0.853944 -0.237274 0.800688 2.170967 -0.940160 0.667782 0.653513

Antenna 151: 2459996

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
151 N16 digital_ok ee Shape 23.159089 23.159089 0.997857 -0.449056 1.012436 2.380872 -0.653646 4.707920 0.359367

Antenna 151: 2459995

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
151 N16 digital_ok ee Shape 23.191576 23.191576 0.804858 -0.528498 0.667844 3.938738 -0.690951 3.227113 -0.204249

Antenna 151: 2459994

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
151 N16 digital_ok ee Shape 18.089342 18.089342 0.912343 -0.042394 0.830280 2.622304 -0.923919 2.283317 -0.270998

Antenna 151: 2459993

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
151 N16 digital_ok ee Shape 25.960776 25.960776 1.133018 0.052986 0.545142 6.072975 -0.792595 5.383263 -0.238585

Antenna 151: 2459991

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
151 N16 digital_ok ee Shape 16.029593 16.029593 1.299342 0.215307 0.683569 4.075352 -0.923481 7.406933 -0.097824

Antenna 151: 2459990

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
151 N16 digital_ok ee Shape 13.967633 1.274208 13.967633 0.617305 0.238366 -0.566279 4.145927 -0.291362 9.443070

Antenna 151: 2459989

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
151 N16 digital_ok ee Shape 21.621148 1.210734 21.621148 0.797481 0.224207 -0.838934 2.648299 -0.396911 3.992738

Antenna 151: 2459988

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
151 N16 digital_ok ee Shape 28.415165 1.354026 28.415165 0.541654 -0.160969 -0.136970 3.786281 -0.108809 9.220302

Antenna 151: 2459987

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
151 N16 digital_ok ee Shape 23.785288 23.785288 0.954672 -0.305695 0.695764 1.739329 -0.705589 0.459180 0.574065

Antenna 151: 2459986

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
151 N16 digital_ok ee Shape 22.879081 1.272244 22.879081 0.614508 -0.046324 -0.698408 3.521719 -0.981384 3.126895

Antenna 151: 2459985

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
151 N16 digital_ok ee Shape 26.989471 0.887584 26.989471 0.628672 -0.364208 -1.100411 2.199332 -0.390428 2.966323

Antenna 151: 2459984

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
151 N16 digital_ok ee Shape 24.216554 24.216554 0.744913 -0.333532 0.512522 3.325751 -0.850408 0.675238 0.998490

Antenna 151: 2459983

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
151 N16 digital_ok ee Shape 23.822202 23.822202 1.016442 -0.211722 0.509503 5.138736 -0.669478 3.418004 -0.721041

Antenna 151: 2459982

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
151 N16 digital_ok ee Shape 13.387915 13.387915 2.351274 -0.576632 0.701535 0.565213 -0.653389 0.513303 -0.156016

Antenna 151: 2459981

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
151 N16 digital_ok ee Shape 12.084016 1.225778 12.084016 0.432386 0.404873 -0.361028 5.356881 -0.360790 7.753223

Antenna 151: 2459980

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
151 N16 digital_ok ee Shape 22.240032 0.940974 22.240032 0.456323 -0.298099 -0.875548 5.286295 -0.382820 1.237932

Antenna 151: 2459979

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
151 N16 digital_ok ee Shape 14.889994 14.889994 1.267927 0.079186 0.401310 5.231337 -0.930548 4.005401 -0.117320

Antenna 151: 2459978

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
151 N16 digital_ok ee Shape 11.738129 1.376488 11.738129 0.399216 0.301180 -0.617428 5.098944 -0.341454 6.243170

Antenna 151: 2459977

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
151 N16 digital_ok ee Shape 20.638686 20.638686 1.142867 -0.209164 0.465055 5.956052 -1.402342 4.585214 -0.533299

Antenna 151: 2459976

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
151 N16 digital_ok ee Shape 22.470100 1.221894 22.470100 0.401377 -0.191269 -0.906188 4.923431 -0.652648 4.120722
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